Deep learning in environmental remote sensing: Achievements and challenges
Various forms of machine learning (ML) methods have historically played a valuable role in
environmental remote sensing research. With an increasing amount of “big data” from earth …
environmental remote sensing research. With an increasing amount of “big data” from earth …
[HTML][HTML] Remote sensing of soil degradation: Progress and perspective
Soils constitute one of the most critical natural resources and maintaining their health is vital
for agricultural development and ecological sustainability, providing many essential …
for agricultural development and ecological sustainability, providing many essential …
Potential for artificial intelligence (AI) and machine learning (ML) applications in biodiversity conservation, managing forests, and related services in India
The recent advancement in data science coupled with the revolution in digital and satellite
technology has improved the potential for artificial intelligence (AI) applications in the …
technology has improved the potential for artificial intelligence (AI) applications in the …
Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties–A review
Forthcoming superspectral satellite missions dedicated to land monitoring, as well as
planned imaging spectrometers, will unleash an unprecedented data stream. The …
planned imaging spectrometers, will unleash an unprecedented data stream. The …
Hybrid retrieval of crop traits from multi-temporal PRISMA hyperspectral imagery
The recently launched and upcoming hyperspectral satellite missions, featuring contiguous
visible-to-shortwave infrared spectral information, are opening unprecedented opportunities …
visible-to-shortwave infrared spectral information, are opening unprecedented opportunities …
Advances in hyperspectral remote sensing of vegetation and agricultural crops
Hyperspectral data (Table 1) is acquired as continuous narrowbands (eg, each band with 1
to 10 nanometer or nm bandwidths) over a range of electromagnetic spectrum (eg, 400 …
to 10 nanometer or nm bandwidths) over a range of electromagnetic spectrum (eg, 400 …
[LIBRO][B] Fundamentals of satellite remote sensing: An environmental approach
E Chuvieco - 2020 - taylorfrancis.com
Fundamentals of Satellite Remote Sensing: An Environmental Approach, Third Edition, is a
definitive guide to remote sensing systems that focuses on satellite-based remote sensing …
definitive guide to remote sensing systems that focuses on satellite-based remote sensing …
PROSPECT+ SAIL models: A review of use for vegetation characterization
The combined PROSPECT leaf optical properties model and SAIL canopy bidirectional
reflectance model, also referred to as PROSAIL, has been used for about sixteen years to …
reflectance model, also referred to as PROSAIL, has been used for about sixteen years to …
Remote sensing of plant functional types
Conceptually, plant functional types represent a classification scheme between species and
broad vegetation types. Historically, these were based on physiological, structural and/or …
broad vegetation types. Historically, these were based on physiological, structural and/or …
A global review of remote sensing of live fuel moisture content for fire danger assessment: Moving towards operational products
One of the primary variables affecting ignition and spread of wildfire is fuel moisture content
(FMC). Live FMC (LFMC) is responsive to long term climate and plant adaptations to …
(FMC). Live FMC (LFMC) is responsive to long term climate and plant adaptations to …